code: def mix_pair(
      src: torch.Tensor, dst: torch.Tensor, min_overlap: float
  ) -> torch.Tensor:
      start = random.randint(0, int(src.shape[1] * (1 - min_overlap)))
      remainder = src.shape[1] - start
      if dst.shape[1] > remainder:
          src[:, start:] = src[:, start:] + dst[:, :remainder]
      else:
          src[:, start : start + dst.shape[1]] = (
              src[:, start : start + dst.shape[1]] + dst
          )
      return src
  
imports: from dataclasses import dataclass, fields, replace
  import json
  from pathlib import Path
  import random
  import typing
  import numpy
  import torch
  from .info_audio_dataset import InfoAudioDataset, get_keyword_or_keyword_list
  from ..modules.conditioners import ConditioningAttributes, SegmentWithAttributes, WavCondition
label_desc: Use image node_id 4 for calling a global function with example usage: mix_pair(src, dst, min_overlap) and returns: src